There are 10 repositories under satellite-data topic.
Techniques for deep learning with satellite & aerial imagery
A curated list of awesome tools, tutorials, code, projects, links, stuff about Earth Observation, Geospatial Satellite Imagery
Datasets for deep learning with satellite & aerial imagery
framework for large-scale SAR satellite data processing
Implementation of Machine Learning and Deep Learning techniques to find insights from the satellite data.
Download and process GOES-16 and GOES-17 data from NOAA's archive on AWS using Python.
AiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.
Algorithms for computing global land surface temperature and emissivity from NASA's Landsat satellite images with Python.
A comprehensive list of NASA Earth science data products
Maritime vessel detection from remote sensing SAR data, based on the architectures of the Faster-RCNN and YOLOv5 networks.
Software behind the RACE dashboard by ESA and the European Commission (https://race.esa.int), the Green Transition Information Factory - GTIF (https://gtif.esa.int), as well as the Earth Observing Dashboard by NASA, ESA, and JAXA (https://eodashboard.org)
A PyTorch implementation of the Light Temporal Attention Encoder (L-TAE) for satellite image time series. classification
An open-source benchmark framework for evaluating state-of-the-art deep learning approaches for image classification in Earth Observation (EO)
Multi-Class Semantic Segmentation on Dubai's Satellite Images.
Python scripts to download and preprocess air pollution concentration level data aquired from the Sentinel-5P mission
Evapotranspiration (ET) models for use in python and with integration into Google Earth Engine
Tools for Downloading, Customizing, and Processing Time Series of Satellite Images from Landsat, MODIS, and Sentinel
UKIS Cloud Shadow MASK
SlideRule Earth Example Notebooks: On-demand, cloud-based processing of satellite mission data (NASA ICESat-2, GEDI, ArcticDEM/REMA, HLS)
This is a R toolkit and developer version package to estimate multidimensional aspects of greenness and nature exposure, such as availability, accessibility and visibility using various geospatial data and models
PyTorch implementations of CNNs and domain-bridging algorithms used in baseline studies of SPEED+ dataset
Annotation of datasets for deep learning applied to satellite and aerial imagery
All-in-one open-source utility for SDR-based satellite tracking. All you need to establish your own ground station with your equipment.
A challenge on the mapping of satellite altimeter sea surface height data organised by MEOM@IGE, Ocean-Next and CLS.
CCSDS Navigation Data Messages Read/Write Library
python codes for remote sensing applications will be uploaded here. I will try to teach everything I learn during my projects in here.